Biology subjects

Kaur, R.

Publications and source records attributed to Kaur, R..

At least 19 recordsLinked to original sources

bioRxiv2026

Differential PCDH1 usage by Laguna Negra and Black Creek Canal hantaviruses

Laguna Negra virus and Black Creek Canal virus are hantaviruses associated with hantavirus cardiopulmonary syndrome (HCPS), but their cellular entry receptors have not been defined. We used replication-competent recombinant vesicular stomatitis viruses (rVSVs) bearing hantavirus Gn/Gc glycoprotein complexes to compare entry by these viruses, the Old World rodent-borne Dabieshan virus and Tigray virus, and the shrew-borne Cao Bang virus and Amga virus. All six Gn/Gc complexes supported infection of primary human pulmonary microvascular endothelial cells, with virus-specific efficiencies and kinetics. Genetic ablation of protocadherin-1 (PCDH1) reduced infection mediated by Laguna Negra virus and Black Creek Canal virus Gn/Gc in human osteosarcoma and endothelial cells, whereas PCDH1 re-expression restored susceptibility. Both viruses were captured by a soluble PCDH1 protein comprising the first two extracellular cadherin domains. Infection was also inhibited by a soluble decoy containing the first cadherin domain, and by an antibody specific to that domain, indicating that the first PCDH1 cadherin domain mediates viral engagement. Black Creek Canal Gn/Gc-bearing rVSVs incorporated less Gn/Gc and showed lower apparent capture by PCDH1 than Laguna Negra virus and Andes virus Gn/Gc-bearing particles, even after normalization for glycoprotein abundance. In contrast, PCDH1 depletion did not detectably alter infection mediated by the other four hantavirus Gn/Gc complexes. Thus, Laguna Negra virus and Black Creek Canal virus use PCDH1 for efficient entry but differ in apparent receptor engagement and responses to PCDH1-directed inhibitors, whereas all six viruses are potently neutralized by the broadly reactive Gn/Gc-directed antibody ADI-42898.

microbiology↗

bioRxiv2026

Contextual Inference Drives Motor Memory Protection and Disruption

Newly acquired memories are initially fragile and are consolidated into long-term memory over time. Although consolidated memories were once thought to be resistant to interference, accumulating evidence shows that memory reactivation renders them transiently labile, making them susceptible to modification or interference before reconsolidation. Crucially, however, there is substantial variation in whether reactivated memories are disrupted by new information, remain protected from it, or even strengthened by it. The factors that guide this modification are largely unknown. To systematically investigate this, we examined motor memory interference using a classic A-B-A visuomotor rotation paradigm. Participants adapted to a 30-degree clockwise rotation (A) on Day1. On Day2, an interfering 30-degree counter-clockwise rotation (B) was introduced under varied conditions: directly without reactivation, after brief reactivation of A, after expression of A without feedback, or following a gradual transition from A to B. The final experiment used explicit contextual cues (a secondary follow-through target) to distinguish A and B trials. Contrary to the simple prediction that reactivation should increase vulnerability to interference, reactivating the original memory before introducing interference protected it, as evidenced by significant savings during relearning on Day3. In contrast, introducing interference directly, without reactivation, disrupted the original memory. This protection was consistent with a contextual-inference account: the large sensory prediction error experienced during the abrupt transition from A to B served as a latent contextual cue, signaling a new context and thereby shielding the original memory from being overwritten. Eliminating this prediction error through an immediate washout session with a similar error profile or through a gradual A-to-B transition abolished the protective effect and disrupted the original memory. Furthermore, when explicit contextual cues distinguished the two perturbations, memories were protected even in the absence of a salient prediction error. Our findings are consistent with a contextual inference account in which the fate of a consolidated memory, whether it is modified or protected, is shaped by the availability of explicit cues or latent signals such as sensory prediction error at the time when interference is introduced.

neuroscience↗

bioRxiv2026

Chromosome-level genome assemblies and annotations of Amaranthus spinosus, Amaranthus acanthochiton, Amaranthus arenicola, and Amaranthus floridanus

Amaranthus L. spans aggressive agricultural weeds, ornamentals, and ancient pseudocereals. Species within the genus vary in morphology, environmental tolerance, and sexual systems, making them well-suited for studying reproductive evolution and plant adaptation. To investigate sex chromosome architecture within the genus, we generated chromosome-level assemblies of a monoecious amaranth (Amaranthus spinosus) and three dioecious species (A. acanthochiton, A. arenicola, and A. floridanus) using PacBio high-fidelity (HiFi) long reads. We paired these data with Dovetail Genomics Omni-C sequencing to achieve haplotype resolution for A. spinosus and A. acanthochiton, and we used reference-guided scaffolding for the remaining two species. The assemblies are highly contiguous, with sizes ranging from 394.24 to 607.10 Mbp, contig N50 from 0.63 to 8.76 Mbp, and scaffold N50 from 22.44 to 37.97 Mbp. Evaluation of the assemblies and annotations revealed 96.3 to 97.6%, and 97.6 to 98.3% BUSCO completeness, respectively. Comparative genomic analysis revealed that the Chromosome 1 inversions and Robertsonian fusion previously reported in A. tuberculatus are conserved in A. acanthochiton and consistent with the architecture of A. arenicola and A. floridanus, suggesting that the evolution of dioecy in this clade predates subsequent speciation. In parallel, multiple homologs of Rf1 on Chromosome 3 of A. spinosus, a monoecious species that exhibits spatial separation of male and female flowers and is closely related to the dioecious A. palmeri, were identified. Together, this study provides foundational resources for advancing evolutionary, ecological, and agronomic research across the genus, including herbicide resistance evolution and weediness traits.

genomics↗

bioRxiv2026

Loss of riboflavin biosynthesis leads to accumulation of select aromatic amino acids and loss of infectivity in Mycobacterium tuberculosis

Riboflavin biosynthesis is required for in vitro survival of the human pathogen Mycobacterium tuberculosis (Mtb). However, despite the lack of a known transporter, growth can be rescued by exogenous riboflavin. The riboflavin biosynthesis pathway is also predicted essential in vivo, but whether riboflavin levels available in the host can support survival has not been directly tested. Here we constructed a set of inducible CRISPR interference (CRISPRi) knockdown and targeted gene deletion strains for known riboflavin biosynthesis genes (ribA2, ribG, ribH, ribC) as tools to characterize riboflavin requirements, uptake, and metabolite changes and to assess in vivo essentiality. We found that riboflavin, but not flavin adenine dinucleotide or flavin mononucleotide, rescued auxotrophy for all strains tested. Further, riboflavin uptake did not show strong evidence of being dependent on active or facilitated transport, supporting the mechanism of passive diffusion. Targeted metabolite profiling after removal of riboflavin from growth medium confirmed reduced riboflavin levels. While other riboflavin intermediates were not detected, significant accumulation of aromatic amino acids (Phe, Tyr) was observed across all assayed strains, as well as alteration in a vitamin B9 metabolite. Selecting the ribC knockout as a representative strain, we found that riboflavin depletion had a bacteriostatic effect as late as 3 weeks after removal. Unexpectedly, {Delta}ribC lacked infectivity in an aerosol mouse infection, suggesting that the potential to scavenge riboflavin from the host is not sufficient to survive in vivo. Overall, our results show that altered metabolism upon loss of riboflavin biosynthesis leads to compromised Mtb infectivity. IMPORTANCETuberculosis remains one of the worlds most deadly infectious diseases, underscoring the need to explore new drug targets. Riboflavin (vitamin B2) biosynthesis has emerged as a promising target because Mycobacterium tuberculosis (Mtb) depends on this pathway for survival. The riboflavin pathway also produces metabolites that modulate host mucosal-associated invariant T (MAIT) cell activity, towards understanding potential strategies for host-directed therapies. Here we found that disrupting riboflavin biosynthesis led to not only compromised survival, but also widespread changes to metabolism and loss of the ability to establish infection in an animal model. These findings improve our understanding of how Mtb adapts to metabolic stress, with implications for developing drugs that target riboflavin biosynthesis and for alterations in host immunity to be explored in future studies.

microbiology↗

bioRxiv2026

An extraglomerular relay circuit for multimodal integration within the Drosophila antennal lobe

The central integration of sensory information within and between brain hemispheres is critical for efficient behavioral responses, but at which level of information processing multimodal integration occurs is poorly understood. In olfactory systems an array of receptor-specific synaptic glomeruli with corresponding projection neurons (PNs) form separate sensory channels within each hemisphere, which run in parallel with other sensory modalities to converge at higher brain regions. We recently identified a small cluster of commissural pioneer neurons (cPINs) in the Drosophila olfactory system, which controls the formation of bilateral sensory circuits to support interhemispheric integration at the first synaptic layer. Here we show that cPINs also mediate the integration of sensory channels by relaying class-specific input within the antennal lobe. Functional studies showed that medial cPINs converge olfactory amine/ammonia input with a class of non-olfactory PNs to trigger attraction. During olfactory circuit formation, growing cPINs specify separate dendritic input/output domains, which merge into distinct glomeruli of different sensory modalities. Mutant analysis of the Wnt5 pathway revealed that cPINs display an initial PN-related growth pattern, which becomes redirected to organize lateral relay between sensory channels. These results identified a small cluster of olfactory interneurons as a central coordinator for fast convergence of sensory information, providing a mechanistic model of neural circuit evolution.

neuroscience↗

bioRxiv2026

Expanded protocadherin-1 usage reveals a broader hantavirus entry landscape

Mammalian hantaviruses are RNA viruses that cause hantavirus cardiopulmonary syndrome in the Americas and hemorrhagic fever with renal syndrome in Eurasia. The cellular entry mechanisms of most hantaviruses remain poorly defined. To examine entry by phylogenetically distinct hantaviruses, we generated replication-competent recombinant vesicular stomatitis viruses (rVSVs) bearing Gn/Gc proteins from Necocli, Sangassou, Thottapalayam, Kenkeme, Nova, Oxbow, and Tula viruses. All these Gn/Gc proteins except Kenkeme supported infection of primary human endothelial cells, indicating that endothelial cell entry is permissive for a broader range of hantaviruses than previously appreciated. Except for rVSV-Kenkeme, these rVSVs did not acquire additional mutations beyond pre-engineered rescue-enhancing changes during rescue and passaging. Genetic studies in human cells lacking protocadherin-1 (PCDH1) showed that Necocli, Tula, and Nova viruses use PCDH1 for efficient infection, although the Nova phenotype was weaker. These three Gn/Gc proteins bound soluble PCDH1 with different apparent avidities, and infection by the corresponding rVSVs was inhibited by soluble PCDH1; Necocli and Tula, but not Nova, were also blocked by a PCDH1-targeting monoclonal antibody. Authentic Tula virus infection was similarly reduced in PCDH1 knockout endothelial cells. Finally, the broadly reactive anti-Gn/Gc human monoclonal antibody ADI-42898 efficiently neutralized Necocli, Nova, Sangassou, and Kenkeme rVSVs but showed weak or undetectable activity against Oxbow, Tula, and Thottapalayam rVSVs. Together, these findings expand the range of hantavirus glycoproteins capable of mediating infection of human endothelial cells, broaden the phylogenetic scope of PCDH1-dependent entry, and identify receptor-targeted and viral glycoprotein-targeted strategies with differential activity. ImportanceMany newly discovered hantaviruses are known only from sequence data, leaving their ability to enter human cells and their receptor usage unresolved. Using a BSL2-compatible rVSV system, we show that glycoproteins from several divergent hantaviruses can mediate infection of primary human endothelial cells, indicating that endothelial cell entry is permissive for a broader range of hantaviruses than previously appreciated. We also show that protocadherin-1 (PCDH1), previously linked mainly to New World hantaviruses, is used by Necocli, Tula, and Nova viruses but not universally across the panel, revealing broader but heterogeneous receptor usage. An authentic Tula virus experiment supports this conclusion beyond the surrogate system. Finally, a broadly reactive anti-Gn/Gc antibody neutralizes several, but not all, of these viruses, highlighting both the promise and the limits of broadly protective countermeasures and the utility of these rVSVs for evaluating entry inhibitors.

microbiology↗

bioRxiv2026

Using timescale as a state coordinate reveals the metastable geometry of behavior

Animal behavior unfolds across many timescales, from fast movement patterns to slow changes in internal states such as hunger, arousal, and circadian phase. These slow variables are rarely measured directly and must instead be inferred from their effects on the faster movements that can be observed. Here we propose treating timescale itself as an explicit coordinate of the state representation, constructing a time-frequency state space where fast movements and slow modulations appear simultaneously. We find that slow modes emerge as linear arms radiating from a stationary-weighted hub in the leading non-trivial eigenvectors of the transfer operator, with one arm per metastable basin across three systems of increasing complexity. In a synthetic system, the framework recovers a hidden bistable driver across nearly three decades of dwell time, while a fixed-timescale analysis of the same trajectory finds no separable slow modes. In nematode locomotion, it reproduces the canonical run-pirouette organization. In freely moving fruit flies, where fast leg kinematics are orders of magnitude faster than the behavioral states they compose, the multi-timescale operator identifies four metastable behavioral basins directly from the postural time series, without first decomposing into a sequence of stereotyped actions. We further find that these basins exhibit a broad, heavy-tailed distribution of residence times. Treating timescale as a state coordinate thus exposes a predictable geometric form for the slow organization of behavior, providing a general route for extracting collective modes from partially observed biological time series without first organizing the dynamics into discrete events.

animal behavior and cognition↗

bioRxiv2026

Directional Gene-Level Concordance and Methodological Constraints in Blood Transcriptomic and DNA Methylation Studies of Parkinson's Disease

Assessing reproducibility across different molecular profiling studies is a persistent methodological challenge (Zhang et al., 2009; Sweeney et al., 2017; Ioannidis, 2005). Differences in platform technology, cohort composition, analytical pipelines, and feature definitions often make it difficult to interpret cross-study comparisons based solely on gene-identity overlap. In this study, we conducted a retrospective computational analysis of seven publicly available analytical datasets (including alternative analytical pipelines applied to the same cohort) derived from five biologically independent peripheral blood transcriptomic and DNA methylation cohorts, comprising 3,487 samples (1,824 Parkinsons disease cases and 1,663 controls). Reproducibility was evaluated using gene-identity overlap, enrichment-based comparisons, and a permutation-based framework to assess directional consistency of effect estimates across datasets. We also tested the robustness of results by varying false discovery rate thresholds and applying alternative probe-to-gene collapsing strategies. All analyses were performed using reproducible workflows implemented in R and Python with fixed random seeds. Across independent cohorts, gene-identity overlap was generally limited, with enrichment ratios close to one, especially when datasets were generated using different platforms. In several datasets, limited numbers of statistically significant features further constrained overlap-based comparisons. In contrast, directional consistency showed greater stability. High levels of directional consistency were observed across independent cohort comparisons when restricted to overlapping statistically significant features and remained stable across statistical thresholds (90.0% at FDR < 0.05 and 82.8% at FDR < 0.10). When evaluated across the full shared gene universe without conditioning on statistical significance, directional consistency was substantially lower ([~]30 to 32%) but remained significantly above permutation-based null expectations. Permutation testing confirmed that the observed directional consistency exceeded what would be expected by chance. A combined analysis including methodological replicates (n [≥] 3 datasets) showed 98.3% directional consistency; however, this estimate includes non-independent analytical pipelines applied to the same cohort and reflects analytical stability rather than independent biological replication. Rather than introducing a new statistical method, this study examines how commonly used reproducibility metrics behave under crossstudy heterogeneity and identifies their practical limitations and appropriate use boundaries.

neuroscience↗

bioRxiv2026

Evolutionary history and genomic vulnerability of the extinct giant deer Megaloceros giganteus

The extinct giant deer (Megaloceros giganteus) was one of the most striking megafaunal species of the Late Quaternary, distinguished by its enormous palmated antlers reaching up to 3.5 m across, the largest known among both living and extinct cervids. Despite its iconic status, little is known about its genomic history prior to extinction [~]8 thousand years ago (kya). We generated the first nuclear palaeogenomes for Megaloceros, represented by nine individuals from Germany ([~]40 kya) and Ireland ([~]11 kya), mapped to a new chromosome-level reference genome of the fallow deer (Dama dama). Phylogenomic analyses placed Megaloceros as sister to Dama (divergence [~]3.5 Ma) and revealed evidence of gene flow with ancestral Cervus lineages. Population analyses identified clear differentiation between German and Irish lineages, with higher genetic diversity in the German individuals. Two genes under strong positive selection, BNIPL and SLC10A7, are associated with apoptosis regulation and skeletal development/bone mineralisation, respectively, and may relate to the species large body and antler size. Demographic reconstructions indicate a long-term decline in effective population size, extremely low heterozygosity, little evidence of extensive runs of homozygosity, and an elevated burden of predicted deleterious alleles. Together, these results suggest that Megaloceros entered the terminal Pleistocene in a genomically fragile state, offering new insight into the biology and evolutionary legacy of one of the largest and most distinctive cervids that ever lived.

evolutionary biology↗

bioRxiv2026

Patient iPSC-Derived Cartilage Organoids Reveal Defective ECM Deposition and Altered Chondrogenic Trajectory in Saul-Wilson Syndrome

Saul-Wilson syndrome (SWS) is a skeletal dysplasia characterized by primordial dwarfism and progeroid features caused by a recurrent dominant COG4 variant (p.G516R). We previously showed that this mutation accelerates Golgi retrograde trafficking and disrupts glycosylation of the proteoglycan decorin, while zebrafish models revealed defects in chondrocyte elongation and intercalation. We have also shown that the SW1353 chondrosarcoma cells carrying the SWS variant exhibit reduced secretion of extracellular matrix (ECM) components. While these results indicate a critical function of COG4 in Golgi processing, the developmental process leading to skeletal dysplasia in SWS patients remains unknown. Here, we generated patient-derived iPSC cartilage organoids (SWS organoids), modeling early human chondrogenesis. SWS organoids failed to produce cartilage structures and displayed poor expression of chondrogenic markers. Time-course RNA-seq analysis of the chondrogenic process revealed reduced activation of gene networks involved in skeletal development, ECM organization, ossification, and glycosaminoglycan metabolism. Spatial multiomic analysis of protein and glycosylation by CODEX and GLYPH imaging revealed an altered chondrogenic trajectory, persistence of mesenchymal states, global glycosylation changes, and reduced deposition of chondroitin sulfate proteoglycans. These results indicate that the COG4 mutation disrupts ECM glycosylation and chondrogenic commitment, and that SWS organoids model early defects in cartilage formation underlies impaired skeletal growth in SWS. HighlightsO_LIPatient iPSC-derived cartilage organoids model development defects in Saul-Wilson syndrome C_LIO_LISWS organoids show defective extracellular matrix deposition and attenuated chondrogenic gene expression C_LIO_LIGlycan profiling reveals global glycosylation defects and deficient proteoglycan GAG chains C_LIO_LIAn early developmental impairment in chondrogenesis alters skeletal formation in Saul-Wilson syndrome C_LI

developmental biology↗

bioRxiv2026

Identification of disease-specific alleles and gene duplications from 1,600 Haemophilus influenzae genomes using predicted protein analyses from an unsupervised language model and clinical metadata

Haemophilus influenzae, a Gram-negative bacterium that is an obligate commensal of the human nasopharynx, is associated with both acute and chronic infections of the ears, adenoids, sinuses, and lungs, as well as pelvic inflammatory disease, sepsis, and meningitis. This diverse array of clinical disease phenotypes is due to H. influenzaes natural competence providing for frequent distributed gene exchange among strains during polyclonal colonizations. We performed whole genome sequencing (WGS) on [~]1000 H. influenzae strains and combined these data with [~]600 publicly available genomes. Clinical metadata including isolation site and disease were available for all strains. Our goal was to identify variations in protein sequences inferred from the WGS that correlate with the clinical metadata. We employed the alpha-fold unsupervised machine-learning model to all protein sequences. For each unique AA sequence, a numerical vector was generated reflecting the proteins biochemical properties. Multidimensional clustering was used to group variants into clusters by distance. For gene groups with two or more clusters, clinical metadata from the strain of origin was overlayed and subsequently tested for correlation with the clustering. This allowed identification of multiple gene groups with clusters of variants that correlated significantly with the patients disease. COG category analysis showed that many of the significant gene groups were associated with antibiotic targets. The TbpA gene group type was found to be significantly correlated with disease type with three of five variant clusters having a 95% prevalence among strains that were isolated from the lungs of COPD patients or other lower pulmonary tract infections.

genomics↗

bioRxiv2025

Systems Level Analysis of Gene, Pathway and Phytochemical Associations with Psoriasis

Psoriasis is an inflammatory skin disorder driven by abnormal immune activation that promotes excessive proliferation and accelerated turnover of epidermal keratinocytes. IL-17 and TNF pathways are well established in psoriasis, but the other mechanisms that keep the disease active and link it to systemic comorbidities are not yet fully understood. A combined transcriptomic and systems biology framework was applied to map regulatory circuits in psoriatic lesions and to identify phytochemical candidates capable of multi-target modulation for topical intervention. Differential gene expression between lesional and healthy skin was analyzed, followed by functional characterization, employing Qiagens Ingenuity Pathway Analysis (IPA) for pathway and upstream regulator inference, protein-protein interaction network, and chemical-gene interaction mapping. This integrative strategy revealed a transcriptional landscape dominated by type I/III interferon signaling, antiviral and antimicrobial responses, immunometabolic dysregulation, and transcriptional hubs centered on AP-1 and CREB1. Several previously unreported genes and upstream regulators without prior documented association with psoriasis were identified within inflammatory and cell migration-related modules, indicating unexplored regulatory layers in disease control. Network-guided chemical prioritization and direction-of-effect filtering highlighted seven phytochemicals (mahanine, atractylon, protopine, annomontine, taraxasterol, tricin, and tamarixetin) with multi-target activity across key disease axes. ADMET-based screening suggested protopine and atractylon as favorable candidates for topical delivery, while synergy modeling identified compatible phytochemical combinations, with flavonoid-alkaloid pairings among the top candidates. This multi-layered approach provides mechanistically informed phytochemicals targeting the IL-17/TNF-interferon-AP-1/CREB1-COX-2/MMP9 axis in psoriasis. Experimental validation in keratinocyte and organotypic skin models will be required to determine whether these compounds, individually or in combination, can effectively modulate psoriatic signaling in vivo.

bioinformatics↗

bioRxiv2025

Disruption of the FGFR1-FGF23-Phosphate Axis and Targeted Therapy in a Murine Model of Osteoglophonic Dysplasia

Osteoglophonic Dysplasia (OGD) is an autosomal dominant skeletal dysplasia characterized by impaired bone growth resulting in short stature, severe craniofacial abnormalities, and in some patients FGF23-mediated hypophosphatemia. It is caused by gain-of-function variants in FGFR1, particularly in or near the transmembrane domain of the receptor. We used CRISPR in mice to knock-in the FGFR1 p.N330I variant, chosen based on its association with FGF23 excess. Skeletal phenotyping of this Fgfr1+/N330I model demonstrated markedly reduced body weight and naso-anal length, shortened long bones, and craniosynostosis, all hallmarks of the human disease. Mutant mice exhibited profound microarchitectural changes in cortical bone and severe disorganization of the growth plate and articular cartilage, driven by decreased cell proliferation and increased apoptosis in skeletal tissues. In addition to osteochondrodysplasia, we noted dramatic increases in plasma FGF23 and hypophosphatemia, driven by upregulated Fgf23 expression and protein levels in bone, with consequent undermineralization. An in vivo ossicle assay allowed longitudinal evaluation of mineral metabolism. We modulated the signaling pathway by repurposing an inhibitor of the overactive receptor, infigratinib, resulting in partial restoration of naso-anal length in treated mutant mice. This first model of OGD offers insights into the disease pathogenesis and open avenues for targeted therapeutic strategies.

molecular biology↗

bioRxiv2025

ALK1-BMPRII agonism by clustering bispecific antibodies treats hereditary hemorrhagic telangiectasia

Hereditary hemorrhagic telangiectasia (HHT) is characterized by arteriovenous malformations (AVMs) and severe bleeding caused by loss-of-function mutations in the ALK1 receptor pathway. We developed clustering agonist bispecific antibodies (BsAbs) targeting ALK1 and its activating partner, the Ser/Thr receptor kinase BMPRII. These BsAbs induced ALK1-BMPRII proximity association, stimulated the downstream Smad1/5/8 signaling cascade, and treated HHT pathologies in various mouse models. BsAb treatment reduced AVM burden by up to 95% in HHT mice, preventing anemia, cardiomegaly, and premature death. The BsAbs also enhanced Smad1/5/8 signaling in endothelial cells derived from HHT patients with ALK1 mutations and prevented retinal AVMs in a newly developed knock-in mouse carrying an HHT-causing ALK1 mutation. These findings establish ALK1-BMPRII agonism as a promising therapeutic strategy for HHT.

cell biology↗

bioRxiv2025

Sequence mismatch between gene-drive and target-site flanking regions significantly impairs homing efficiency in Culex quinquefasciatus

CRISPR/Cas9-based homing gene-drives (homing-drives) hold enormous potential as control tools for mosquito disease-vectors. These genomically-encoded technologies spread themselves through target populations by creating double-stranded DNA breaks on homologous chromosomes, into which the homing-drives are copied ( homed). Homing is dependent on sequence homology between the genomic regions flanking the transgene insertion and the break site. Homing efficiency (i.e. copying rate) substantially impacts the power of these systems: less efficient homing-drives spread slower, have fewer applications and are more resistance-prone. Understanding what influences homing-drive efficiency is therefore vital to the successful use of these technologies. Here we report a novel mechanism by which a homing-drives efficiency can be significantly impaired by natural sequence variation within a population into which it is spreading. Using a kmo-targeting split homing-drive in the West Nile virus mosquito Culex quinquefasciatus, we found that target-site heterology (sequence mismatch between the genomic regions flanking the target cut-site and the homing-drive transgene) of less than 10% reduced homing efficiency by up to 54%. While substantial research effort has been dedicated to increasing homing-drive efficiency through optimisation of within-construct components, our results highlight that the real-world efficacy of these systems may in part depend on variation beyond these controllable factors.

synthetic biology↗

bioRxiv2025

Serum exosome miR-150-5p in rheumatic heart disease-associated angiogenesis

The focus of this study is on Rheumatic heart disease (RHD), an autoimmune consequence of rheumatic fever leading to mitral valve damage. Aim is to explore the role of exosomes derived from RHD patients in promoting angiogenesis during RHD pathogenesis. Exosomes were isolated via column chromatography from the pericardial fluid (PF) and serum of RHD patients, pericardial fluid from non-RHD patients undergoing coronary artery bypass grafting (CABG) surgery, and serum of healthy individuals. These exosomes were characterized by transmission electron microscopy (TEM) and western blotting. Human umbilical vein endothelial cells (HUVECs) cultured from umbilical cord(s), were treated with purified exosomes from RHD, CABG patients or healthy individuals. Exosome treatment induced morphological changes in HUVECs, including elongation and tube-like structure formation. The qRT-PCR gene expression analysis revealed significant upregulation of angiogenic markers (VEGF-A 2.7-fold, MMP2 1.5-fold) and inflammatory cytokine (IL-4 15.17-fold), in HUVECs stimulated with RHD serum exosomes. Conversely, there was downregulation of anti- angiogenic genes (RASA-1 0.65-fold and endostatin 0.4-fold). Notably, elevated levels of miR- 150-5p (34.29 + 9.524-fold mean difference; p= 0.0007) were detected in serum-derived exosomes from RHD patients compared to healthy controls. Stimulation of HUVECs with RHD serum exosomes resulted in reduction in the expression of TP53 (0.227-fold; p= 0.006), a known target of miR-150-5p. Furthermore, transfection of HUVECs with miR-150-5p mimics induced the formation of angiogenic endothelial tubes, underscoring the role of miR-150-5p in promoting angiogenesis. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=128 SRC="FIGDIR/small/659484v1_ufig1.gif" ALT="Figure 1000"> View larger version (27K): org.highwire.dtl.DTLVardef@1520e92org.highwire.dtl.DTLVardef@3aa03aorg.highwire.dtl.DTLVardef@ed6e1dorg.highwire.dtl.DTLVardef@1d85231_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗

bioRxiv2025

Astrocyte reprogramming drives tumor progression and chemotherapy resistance in agent-based models of breast cancer brain metastases

Breast cancer brain metastases (BCBM) affect nearly 90,000 patients annually in the United States and carry a significant risk of mortality. As metastatic lesions develop, the unique milieu of the brain microenvironment shapes disease progression and therapeutic response. Among resident brain cells, astrocytes are both the most common, and are increasingly recognized as key regulators of this process, yet their precise role remains poorly defined. Here, we present a hybrid agent-based model (ABM) to simulate tumor-astrocyte interactions on a two-dimensional lattice. In our model, metastatic tumor cells induce phenotypic reprogramming of astrocytes from an antito a pro-metastatic state, thereby enhancing tumor proliferation. We systematically evaluate how variations in astrocyte density, spatial distribution, and chemotherapy impact tumor expansion and spatial morphology, quantified by fractal dimension, lacunarity, and eccentricity. Our simulations reveal that astrocyte reprogramming accelerates tumor progression and contributes to increased morphological complexity and chemotherapeutic resistance.

cancer biology↗

bioRxiv2025

Sequential formation of Drosophila circuit asymmetry via prolonged structural plasticity.

Structural and functional differences between brain hemispheres are a common feature of animal nervous systems with reduced bilateral asymmetry often linked to impaired cognitive performance. How neuronal left-right asymmetry is initiated and integrated into a bilaterally symmetrical ground pattern is poorly understood. Here we show that directional asymmetry of a Drosophila central brain circuit originates from axonal interactions of two classes of bilateral pioneer neurons. Subsequent recruitment of neighboring neuron classes into the asymmetric neuropil precursor results in hemisphere-specific microcircuits. Circuit lateralization requires dynamic expression of the cell adhesion molecule Fasciclin 2 to maintain structural plasticity in axonal remodeling. Reduced circuit asymmetry following cell type-specific Fasciclin 2 manipulation affect adult brain function. These results reveal an unexpected degree of developmental plasticity of late-born Drosophila neurons in the formation of a new circuit node via the lateralized recruitment of symmetric circuit components.

neuroscience↗